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Bussgang' deconvolution techniques for blind digital channels equalization rely on a Bayesian estimator of the source sequence de ned on the basis of channel/equalizer cascade model which involves the de nition of deconvolution noise. In this paper we consider four 'Bussgang' blind deconvolution algorithms for uniformly-distributed source signals and investigate their numerical performances as well as some their analytical features. Particularly, we show that the algorithm, introduced by thedoi:10.1016/s0165-1684(01)00108-6 fatcat:2dsed4jmujhgnpgtdmqgawfbs4